[Sequential use of botulinum toxin A and bovhyaluronidase azoximer in the correction of post-stroke spasticity].

A clinical case of consistent use of botulinum toxin type A (BTA) and azoximer bovhialuronidase (BA) in a 69-year-old patient who suffered an ischemic stroke (II) with right-sided hemiparesis is presented. BTA (incobotulotoxin) was injected under ultrasound control (ultrasound) into the muscles of the target pathological patterns at a dose of 500 units. After 3 weeks, under the control of ultrasound navigation, BA was injected into the 2 most fibrotic shoulder muscles at a dose of 3.

Metagenomic insights into the development of microbial communities of straw and leaf composts.

Introduction: Soil microbiome is a major source of physiologically active microorganisms, which can be potentially mobilized by adding various nutrients. To study this process, a long-term experiment was conducted on the decomposition of oat straw and leaf litter using soil as a microbial inoculum.

Methods: Combined analyses of enzymatic activity and NGS data for 16S rRNA gene amplicon and full metagenome sequencing were applied to study taxonomic, carbohydrate-active enzyme (CAZy), and polysaccharide utilization loci (PULs) composition of microbial communities at different stages of decomposition between substrates.

Population Structure Based on Microsatellite Length Polymorphism, Antifungal Susceptibility Profile, and Enzymatic Activity of Clinical Isolates in Russia.

is an emerging multidrug-resistant fungal pathogen causing nosocomial transmission and invasive infections with high mortality. This study aimed to investigate the genetic relationships, enzymatic activities, and drug-resistance profiles of isolates to evaluate the population and epidemiological diversity of candidiasis in Russia. A total of 112 clinical isolates of were analyzed from May 2017 to March 2023 in 18 hospitals across Saint Petersburg, the Leningrad Region, and Moscow.

Large Language Model for Automating the Analysis of Cryoprotectants.

The rapid expansion of scientific literature necessitates developing efficient data extraction and analysis methods. This study presents an innovative approach to automating the extraction of cryoprotectant information from scientific publications using a generative pretrained transformer (GPT) model integrated with a Telegram bot interface. Our system processes and analyzes scientific articles to identify and extract relevant data on cryoprotectants and bacteria, significantly reducing the time required for researchers to gather essential information.